Top Tweets for #IntelExascaleChat
Thank you for an insightful #IntelExascaleChat with @argonne_lcf @HPE_Cray @intelhpc @AaronKnoll1 @bcordovadiba @debraIntel @jamesljeffers @JamesReinders @kumarhpc @kevinha62412862 @kelseyprantis @martent1999 @mike_woodacre @OlivierFranza @b3thcrny around #AuroraExascale.
@IntelDevTools Q11: SYCL is a standard to add data parallelism (with kernels) to C++ ; DPC++ is the LLVM compiler project to implement SYCL ; DPC++ stands for 'Data Parallel C++' #IntelExascaleChat #IamIntel
A11 DPC++ is Intel’s implementation of the open Khronos SYCL specification. DPC++ is open source and based off LLVM. It supports Intel GPUs, Intel FPGAs, Nvidia GPUs and AMD GPUs.
#IntelExascaleChat #AuroraExascale
@IntelDevTools A8 The DAOS Aurora storage will provide >25 TB/s of sustained throughput in aggregate. DAOS will be able to deliver this performance to a wide number of workloads with different requests sizes and access patterns.
#IntelExascaleChat #AuroraExascale
@IntelDevTools A7 Optane Persistent Memory offers extremely low latency to improve response time for small I/Os and metadata updates allowing applications high performance under various workloads.
#IntelExascaleChat #AuroraExascale @glennklockwood
Q7. How does DAOS exploit the benefits of Optane persistent memory for Aurora storage? #IntelExascaleChat
@IntelDevTools A6 oneAPI provides a suite of APIs that are based on open specifications that exploit the heterogenous machine architectures of current Pre-Exasacle computers and the forth coming Exascale computers.
#IntelExascaleChat #AuroraExascale
@IntelDevTools A5: the biggest oneAPI advantage is the open, multivendor, multiarchitecture approach so applications be better ready for whatever the future brings! #intelexascalechat #IamIntel
@IntelDevTools A5: tools that give great insights wherever an application is running - gdb, VTune, Advisor #IntelExascaleChat #IamIntel
@IntelDevTools A5: support for languages that power #Exascale level of performance include OpenMP, SYCL, C/C++, Fortran, and Python #IntelExascaleChat #IamIntel
@IntelDevTools A5 (2/3) Key libraries fundamental to achieving exascale level of performance include oneMKL, oneDNN, and oneCCL, along with the DPC++ compiler #IntelExascaleChat
@IntelDevTools A5 (1/3) oneAPI is the single and unified software stack from Intel that enables the Aurora Exascale System to deliver maximum performance, scalability and efficiency from PVC #IntelExascaleChat
Q5. How does oneAPI and PVC combine to enable new innovation and breakthroughs on the Aurora Exascale System? #AuroraExascale #IntelExascaleChat
@IntelDevTools A4 Check out @jamesljeffers SIGGRAPH talk "High-Fidelity Ray Tracing Pushing New Boundaries", with an eye on the future. I enjoyed it very much. https://t.co/XSEcBvOnmV #intelexascalechat #IamIntel
@IntelDevTools Several years ago, the OSPRay ray tracing engine was integrated into ParaView to provide smoother surfaces, transparency, shadows, specular highlights, anti-aliasing in ParaView generated displays. -DPARAVIEW_ENABLE_RAYTRACING=ON #intelexascalechat #IamIntel
Q4. How will Intel rendering technologies inter-operate with traditional graphics APIs (OpenGL, Vulkan) in vis software such as ParaView? #IntelExascaleChat
@IntelDevTools A3 It's been observed that Supercomputers turn compute bound problems into I/O bound problems. ExaFLOP/s in one place really matters because of the effect it has on turn around on compute bound problems! #IntelExascaleChat #IamIntel
@IntelDevTools A3 It’s also a question of problem speed. Some problems are just taking too long to compute today to be addressed adequately, Exascale will increase the number of challenges that can be resolved, which means that it will fulfill itself to demand more machines. #IntelExascaleChat
@IntelDevTools A3 For instance, an Exaflop machine will be able to tackle more complex problems in medicine, climate, energy, engineering, cosmology, to only name a few. #IntelExascaleChat
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